2008
DOI: 10.1112/blms/bdn023
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A smoothed GPY sieve

Abstract: To this end, a rework of the main part of [7] is developed in Sections 2-3; thus the present article is essentially self-contained, except for the first section which is an excerpt from [4].

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Cited by 21 publications
(26 citation statements)
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References 5 publications
(16 reference statements)
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“…Theorems 22,24,26, and 28 use the asymptotics established in Theorems 19 and 20, in combination with Lemma 18, to give various criteria for bounding H m , which all involve finding sufficiently strong candidates for a variety of multidimensional variational problems; these theorems are proven in the 'Reduction to a variational problem' section. These variational problems are analysed in the asymptotic regime of large k in the 'Asymptotic analysis' section, and for small and medium k in the 'The case of small and medium dimension' section, with the results collected in Theorems 23,25,27,and 29. Combining these results with the previous propositions gives Theorem 16, which, when combined with the bounds on narrow admissible tuples in Theorem 17 that are established in the 'Narrow admissible tuples' http://www.resmathsci.com/content/1/1/12 section, will give Theorem 4.…”
Section: Organization Of the Papermentioning
confidence: 99%
See 1 more Smart Citation
“…Theorems 22,24,26, and 28 use the asymptotics established in Theorems 19 and 20, in combination with Lemma 18, to give various criteria for bounding H m , which all involve finding sufficiently strong candidates for a variety of multidimensional variational problems; these theorems are proven in the 'Reduction to a variational problem' section. These variational problems are analysed in the asymptotic regime of large k in the 'Asymptotic analysis' section, and for small and medium k in the 'The case of small and medium dimension' section, with the results collected in Theorems 23,25,27,and 29. Combining these results with the previous propositions gives Theorem 16, which, when combined with the bounds on narrow admissible tuples in Theorem 17 that are established in the 'Narrow admissible tuples' http://www.resmathsci.com/content/1/1/12 section, will give Theorem 4.…”
Section: Organization Of the Papermentioning
confidence: 99%
“…While such an estimate remains unproven, it was observed by Motohashi and Pintz [27] and by Zhang [3] that a certain weakened version of EH [ϑ] would still suffice for this purpose. More precisely (and following the notation of our previous paper), let , δ > 0 be fixed, and let MPZ[ , δ] be the following claim: …”
Section: Distribution Estimates On Arithmetic Functionsmentioning
confidence: 99%
“…Prior to [4], a bilinear structure in the error term of the Λ 2 sieve was observed in [10] and the first improvement upon (5.4) was achieved; see [5] as well. Later the development [13] made it possible to prove (5.2) via the Λ 2 sieve; see [17] for a further development. On the other hand, the bound (5.9) depends on our large sieve extension of the Λ 2 sieve that is devised via the duality principle and the quasi-character derived from optimal Λ 2 -weights, as is already mentioned in the first section.…”
Section: Main Theoremmentioning
confidence: 99%
“…First, he isolated a weaker distribution estimate that sufficed to obtain the bounded gap property (still involving the crucial feature of going beyond the range accessible to the BombieriVinogradov technique), where (roughly speaking) only smooth 1 moduli were involved, and the residue classes had to obey strong multiplicative constraints (the possibility of such a weakening had been already noticed by Motohashi and Pintz [43]). Secondly, and more significantly, Zhang then proved such a distribution estimate.…”
Section: Introductionmentioning
confidence: 99%